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Dr. Patrick Damme


Technische Universität Berlin
Big Data Engineering

Ernst-Reuter-Platz 7, 10587 Berlin

Dr. Patrick Damme Researcher BIFOLD

Dr. Patrick Damme

Postdoctoral Researcher

Dr. Patrick Damme is a postdoctoral researcher in the DAMS Lab research group headed by Prof. Dr. Matthias Boehm at Technische Universität Berlin and the BIFOLD research center in Berlin, Germany. His research interests are centered around database systems, machine learning systems, and techniques for making complex analyses of large data volumes efficient, scalable, and simple. In that context, his current topics of interest include extensible data systems, compilation and runtime techniques, as well as language abstractions for declarative analyses. The main vehicle of this research is DAPHNE, an open and extensible system infrastructure for integrated data analysis pipelines combining data management and query processing, machine learning training and scoring, as well as high-performance computing and simulations.

Until fall 2022, he was a university project assistant at Graz University of Technology and a senior researcher (postdoc) at the co-located Know-Center GmbH in Graz, Austria. During that time, he started his research in the DAPHNE EU-project and became one of the main contributors of the DAPHNE system.

Before that, in 2020, he received his PhD (Dr.-Ing.) from Technische Universität Dresden in Dresden, Germany, where he was a research associate in the Dresden Database Systems group. He was supervised by Wolfgang Lehner and co-supervised by Dirk Habich. In his PhD thesis, he investigated the use of lightweight integer compression for the intermediate results of complex OLAP queries in in-memory column stores as a means to address the memory wall. This work led to the development of MorphStore, a research prototype of a query processing engine for columnar data, based on compression and SIMD as first-class citizens. He has also collaborated with colleagues on topics like SIMD, NVRAM, resilience, and energy efficiency in database systems.

Aristotelis Vontzalidis, Stratos Psomadakis, Constantinos Bitsakos, Mark Dokter , Kevin Innerebner , Patrick Damme, Matthias Boehm , Florina Ciorba, Ahmed Eleliemy, Vasileios Karakostas, Aleˇs Zamuda, Dimitrios Tsoumakos1

DAPHNE Runtime: Harnessing Parallelism for Integrated Data Analysis Pipelines

March 22, 2024

Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaž Kosar, Alexander Krause, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pınar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz Wrosz, Aleš Zamuda, Ce Zhang, Xiao Xiang Zhu

DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines

January 09, 2022